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December 8, 2022IEEE Transactions on Vehicular Technology25 citations

Blockchain-Based Co-Operative Caching for Secure Content Delivery in CCN-Enabled V2G Networks

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AMArzoo MiglaniNKNeeraj Kumar

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Abstract

Due to the increasing popularity of electric vehicles (EVs) around the globe, Vehicle-to-Grid (V2G) has emerged as one of the most promising technologies of the modern era in modern smart grid eco-systems. However, with an exponential increase in the number of EVs around the globe, it is challenging to assign a unique IP address to each EV for content delivery in V2G environment. Also, with an increase in the number of EVs, the traffic load on the network local area aggregator (LAG), which aggregates the data between Charging Stations (CS) and EVs and disseminates it among different participating entities increases manyfold. Most of the existing solutions reported in literature for the aforementioned problems are based upon traditional Internet Protocol (IP)-based protocol which may have a performance degradation with an increase in the number of nodes in the network. Also, it lacks in-network caching, which is pre-requisite to take efficient decisions for fast content delivery. Hence, to mitigate these issues, in this paper, we propose CCN-based secure content delivery scheme for V2G network. Our major contributions in this paper are summarized in three-fold. Firstly, to reduce the load on LAG, we propose in-network caching for fast content delivery in V2G network. Secondly, we propose a contract theory based incentive scheme to attract vehicles to participate in content delivery to the recipients. Thirdly, for secure content delivery and to achieve trust in the network, we propose the proof of authority (PoA) consensus algorithm among vehicles in V2G network. We evaluated the proposed scheme using various performance evaluation metrics compared to the existing state-of-the-art solutions. The performance of the proposed scheme illustrates that it outperforms the existing state-of-the-art schemes with respect to delay incurred, social welfare, throughput, and latency.

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Cite This Study

Miglani et al. (2022) studied this question.

synapsesocial.com/papers/6a71370b5d37378ac1de5f22https://doi.org/10.1109/tvt.2022.3227291
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